Control plane for AI agents: policy enforcement, audit trails and human-in-the-loop approval across providers.
Sentrely is a managed control plane that sits between an organization and the AI agents it runs: agents connect through a gateway, and Sentrely applies policy enforcement, logs an audit trail of agent actions, and can require human approval before an agent takes a sensitive step. It supports agents built on Claude, OpenAI, Cursor, Gemini, Mistral and Llama, and integrates with Slack, Telegram, AWS, GitHub, Stripe and more than 100 other services. It is aimed at solo developers experimenting with agents up through enterprise teams that need compliance-grade audit retention and SSO. The operating entity is Unique Datasets LLC; a free 14-day trial covers one agent with 100 minutes of runtime before a paid plan is required.
14-day free trial covers 1 agent and 100 minutes of runtime. Team is $199/month (10 agents, 2 seats, 90-day audit retention). Business is $999/month (20 agents, 10 seats, 1-year retention, SSO/SCIM). Enterprise is custom (unlimited agents, VPC deployment).
Use tool ↗Sentrely targets a real gap for teams running multiple AI agents in production: a single place to see what agents did, enforce policy before risky actions, and keep an audit trail for compliance. The free trial is small (100 minutes, one agent), so you'll hit the paywall almost immediately if you want to evaluate it seriously across a real multi-agent setup.
Watch out: Routing agent actions through a third-party control plane means Sentrely sits in the path of whatever credentials and data your agents touch; review its access scope carefully.
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